The State of Web Vitals

Analytics impact

Sites running each analytics provider, ranked by their CWV.

Field data PhoneDesktopAll Scope All sites Q2 2026 edition · Phone field outcomes
Metric LCP INP CLS
1

At a glance the headline numbers for Analytics impact

Sites running each analytics provider, ranked by their CWV.

19
Providers ranked
After min-sites filter
190,340
Sites in sample
Combined across all items
0.01
Best CLS (p75)
Plausible
The State of Web Vitals · Q2 2026 · 189,915 sites · phone field datacorewebvitals.io/state-of-cwv
2

The ranking sorted by CLS at p75, fastest first

# Provider CLS p75 Passing Sites
1 Plausible 0.01 92.6%
2,015
2 Simple Analytics 0.01 88.2%
92
3 Snowplow 0.01 88.6%
3,010
4 Umami 0.02 87.5%
826
5 Matomo 0.02 89.4%
12,405
6 Fathom 0.02 88.7%
315
7 StatCounter 0.02 88.8%
308
8 GoatCounter 0.03 94.6%
56
9 Universal Analytics 0.03 87.7%
72,513
10 Google Analytics 4 0.03 87.3%
96,761
11 AT Internet/Piano 0.06 85.7%
528
12 PostHog 0.06 86.2%
295
13 Amplitude 0.08 81.9%
169
14 Clicky 0.08 90.1%
225
15 Heap 0.10 75.9%
73
16 Mixpanel 0.10 75.0%
117
17 Chartbeat 0.12 66.2%
76
18 Pirsch 0.18 71.4%
114
19 Adobe Analytics 0.18 65.3%
442
The State of Web Vitals · Q2 2026 · 189,915 sites · phone field datacorewebvitals.io/state-of-cwv
3

Passing CLS per provider which group passes the CLS most often

ProviderSitesPassing CLSp75
GoatCounter 0% 56 95% 0.03
Plausible 1.1% 2,015 93% 0.01
Clicky 0.1% 225 90% 0.08
Matomo 6.5% 12,405 89% 0.02
StatCounter 0.2% 308 89% 0.02
Fathom 0.2% 315 89% 0.02
Snowplow 1.6% 3,010 89% 0.01
Simple Analytics 0% 92 88% 0.01
Universal Analytics 38.1% 72,513 88% 0.03
Umami 0.4% 826 88% 0.02
Google Analytics 4 50.9% 96,761 87% 0.03
PostHog 0.2% 295 86% 0.06
AT Internet/Piano 0.3% 528 86% 0.06
Amplitude 0.1% 169 82% 0.08
Heap 0% 73 76% 0.10
Mixpanel 0.1% 117 75% 0.10
Pirsch 0.1% 114 71% 0.18
Chartbeat 0% 76 66% 0.12
Adobe Analytics 0.2% 442 65% 0.18
Parsely 0% 36 32% 0.21
Good Needs Improvement Poor Sorted best-passing first · median colored by its own rating · pass = good CLS (0.1 at p75) · one value per site

93% of Plausible sites pass CLS. Adobe Analytics trails 28 points behind, leaving 35% of its sites failing. computed

The State of Web Vitals · Q2 2026 · 189,915 sites · phone field datacorewebvitals.io/state-of-cwv
4

All five vitals at once the whole category without toggling - cell is the pass rate, small number the p75

LCP
INP
CLS
FCP
TTFB
Snowplow 1.6%
861.9s
94126ms
890.01
831.5s
74816ms
Pirsch 0.1%
882.1s
96133ms
710.18
931.5s
49928ms
Chartbeat 0%
941.9s
74220ms
660.12
911.5s
79601ms
PostHog 0.2%
782.4s
80177ms
860.06
692.0s
451.3s
Adobe Analytics 0.2%
682.7s
75197ms
650.18
691.9s
62997ms
AT Internet/Piano 0.3%
832.2s
87156ms
860.06
801.7s
70862ms
Amplitude 0.1%
772.4s
75195ms
820.08
791.7s
70927ms
GoatCounter 0%
921.6s
100115ms
950.03
921.4s
84630ms
Matomo 6.5%
852.1s
93140ms
890.02
771.7s
601.1s
Universal Analytics 38.1%
792.3s
92136ms
880.03
721.9s
541.3s
Google Analytics 4 50.9%
802.3s
92136ms
870.03
731.9s
561.2s
Plausible 1.1%
921.7s
95114ms
930.01
871.4s
77749ms
Umami 0.4%
772.4s
89140ms
880.02
781.7s
75792ms
Fathom 0.2%
812.2s
95127ms
890.02
741.8s
611.1s
Mixpanel 0.1%
702.7s
84170ms
750.10
731.8s
611.0s
StatCounter 0.2%
812.2s
87144ms
890.02
761.8s
581.2s
Clicky 0.1%
881.7s
100109ms
900.08
821.4s
71951ms
Simple Analytics 0%
762.3s
88127ms
880.01
712.0s
571.2s
Heap 0%
653.0s
61238ms
760.10
612.3s
531.2s
Parsely 0%
971.8s
90189ms
320.21
841.8s
65940ms
60%95%+ passing Cell: pass rate, small number = p75 · faded rows: under 100 sites

One row per provider, one column per vital - the cell is the share of sites passing, the small number the p75. No toggling needed to see where the category actually differs.

Plausible leads on CLS: 93% of its sites pass. Adobe Analytics trails at 65%. computed

The State of Web Vitals · Q2 2026 · 189,915 sites · phone field datacorewebvitals.io/state-of-cwv
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Related signals Marketing pixels (10) → Session recording (11) → Ad networks (9) → Reviews (8) → Chrome field data from 189,915 sites, representing millions of real page loads · How we measured